Cloud Computing

Rust is gaining momentum across the cloud developer community for good reason. It’s fast, memory-safe, and built for modern systems. Until now, however, your options for integrating Rust with Google Cloud were limited to unofficial Rust SDKs, which made things harder to maintain, less secure, or were missing features. We’re excited to announce the official

With the rapid growth of AI/ML, data science teams need a better notebook experience to meet the growing demand for and importance of their work to drive innovation. Additionally, scaling data science workloads also creates new challenges for infrastructure management. Allocating compute resources per user provides strong isolation (the technical separation of workloads, processes, and

While petabyte-scale data warehouses are becoming more common, getting the performance you need without escalating costs and effort remain key challenges, even in a modern cloud data warehouse. While many data warehouse platform providers continue to work on these challenges, BigQuery has already moved past petabyte-scale data warehouses to petabyte-scale tables. In fact, some BigQuery

The automotive industry is in the midst of a profound transformation, accelerating towards an era of software-defined vehicles (SDVs). This shift, however, presents significant challenges for manufacturers and suppliers alike. Their priority is making great vehicles, not great software, though the latter now contributes — and is increasingly a necessity — to achieve the former.

Tata Steel is one of the world’s largest steel producers, with an annual crude steel capacity exceeding 35 millions tons. With such a large and global output, we needed a way to improve asset availability, product quality, operational safety, and environmental monitoring. By centralizing data from diverse sources and implementing advanced analytics with Google Cloud,